TY - GEN
T1 - Discrete wavelet transform based seizure detection in newborns EEG signals
AU - Zarjam, Pega
AU - Mesbah, Mostefa
PY - 2003
Y1 - 2003
N2 - This paper proposes a novel method for detecting newborns seizure events from electroencephalogram (EEG) data. The detection scheme is based on the discrete wavelet transform (DWT) of the EEG signals. The number of zero-crossings, the average distance between adjacent zero-crossings, the number of extrema, and the average distance between adjacent extrema of the wavelet coefficients (WCs) of certain scales are extracted to form a feature set. The extracted feature set is then fed to an artificial neural network (ANN) classifier to organize the EEG signals into seizure and non- seizure activities. In this study, the training and test sets were obtained from EEG data acquired from 1 and 5 other neonates, respectively, with ages ranging from 2 days to 2 weeks. The obtained results show that on the average 95% of the EEG seizures were detected by the proposed scheme.
AB - This paper proposes a novel method for detecting newborns seizure events from electroencephalogram (EEG) data. The detection scheme is based on the discrete wavelet transform (DWT) of the EEG signals. The number of zero-crossings, the average distance between adjacent zero-crossings, the number of extrema, and the average distance between adjacent extrema of the wavelet coefficients (WCs) of certain scales are extracted to form a feature set. The extracted feature set is then fed to an artificial neural network (ANN) classifier to organize the EEG signals into seizure and non- seizure activities. In this study, the training and test sets were obtained from EEG data acquired from 1 and 5 other neonates, respectively, with ages ranging from 2 days to 2 weeks. The obtained results show that on the average 95% of the EEG seizures were detected by the proposed scheme.
UR - http://www.scopus.com/inward/record.url?scp=60349123665&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=60349123665&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2003.1224913
DO - 10.1109/ISSPA.2003.1224913
M3 - Conference contribution
AN - SCOPUS:60349123665
SN - 0780379462
SN - 9780780379466
T3 - Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
SP - 459
EP - 462
BT - Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
PB - IEEE Computer Society
T2 - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Y2 - 1 July 2003 through 4 July 2003
ER -